LEADER 04155nam 22006975 450 001 9910403766803321 005 20200706154141.0 010 $a981-15-3746-1 024 7 $a10.1007/978-981-15-3746-2 035 $a(CKB)4100000011233791 035 $a(DE-He213)978-981-15-3746-2 035 $a(MiAaPQ)EBC6192791 035 $a(PPN)248396005 035 $a(EXLCZ)994100000011233791 100 $a20200508d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReliability and Risk Assessment in Engineering $eProceedings of INCRS 2018 /$fedited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XXVI, 532 p. 226 illus., 144 illus. in color.) 225 1 $aLecture Notes in Mechanical Engineering,$x2195-4356 311 $a981-15-3745-3 327 $aSection 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems. 330 $aThis volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance. 410 0$aLecture Notes in Mechanical Engineering,$x2195-4356 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aComputer software?Reusability 606 $aMathematical models 606 $aManufactures 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 0$aComputer software?Reusability. 615 0$aMathematical models. 615 0$aManufactures. 615 14$aQuality Control, Reliability, Safety and Risk. 615 24$aPerformance and Reliability. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aManufacturing, Machines, Tools, Processes. 676 $a620.00452 702 $aGupta$b Vijay Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVarde$b Prabhakar V$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKankar$b P. K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJoshi$b Narendra$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910403766803321 996 $aReliability and Risk Assessment in Engineering$92504103 997 $aUNINA